Kenyon, Garrett T.

7 publications

ICLRW 2025 Distilled Feedforward Networks Are as Robust as Energy-Based Models Trained with Equilibrium Propagation Siddharth Mansingh, Garrett T. Kenyon, Michael Teti

ICMLW 2023 How Can Neuroscience Help Us Build More Robust Deep Neural Networks? Sayanton V. Dibbo, Siddharth Mansingh, Jocelyn Rego, Garrett T. Kenyon, Juston Moore, Michael Teti

NeurIPSW 2023 How Robust Are Energy-Based Models Trained with Equilibrium Propagation? Siddharth Mansingh, Michal Kucer, Garrett T. Kenyon, Juston Moore, Michael Teti

UAI 2022 If You’ve Trained One You’ve Trained Them All: Inter-Architecture Similarity Increases with Robustness Haydn T. Jones, Jacob M. Springer, Garrett T. Kenyon, Juston S. Moore

ICMLW 2021 Uncovering Universal Features: How Adversarial Training Improves Adversarial Transferability Jacob M. Springer, Melanie Mitchell, Garrett T. Kenyon

CVPRW 2020 Using Sinusoidally-Modulated Noise as a Surrogate for Slow-Wave Sleep to Accomplish Stable Unsupervised Dictionary Learning in a Spike-Based Sparse Coding Model Yijing Watkins, Edward Kim, Andrew Sornborger, Garrett T. Kenyon

NeCo 2004 Correlated Firing Improves Stimulus Discrimination in a Retinal Model Garrett T. Kenyon, James Theiler, John S. George, Bryan J. Travis, David W. Marshak